Optimal double acceptance sampling inspection plans based on inverted Nadarajah-Haghighi distribution

In this paper, we present optimal single acceptance sampling inspection plans for Inverted Nadarajah-Haghighi distribution so that the consumer’s and producer’s risks are controlled simultaneously.

Nonlinear optimization program is used to obtain the optimal sample size and acceptance number as well as the associated consumer’s and producer’s risks.

Optimal sample size and acceptance number are obtained in generalized half-normal distribution. Two real data sets are given for illustrating the results.

Originality/Value: 

Two-point method is used to find the best plan by using nonlinear programing optimization problem. All computations are performed by the R software.